import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('World_Physical_Map'), 8)
plt.show()
if __name__ == '__main__':
main()
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('World_Shaded_Relief'), 8)
plt.show()
if __name__ == '__main__':
main()
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('World_Topo_Map'), 8)
plt.show()
if __name__ == '__main__':
main()
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('NatGeo_World_Map'), 8)
plt.show()
if __name__ == '__main__':
main()
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('World_Street_Map'), 8)
plt.show()
if __name__ == '__main__':
main()
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('World_Imagery'), 8)
plt.show()
if __name__ == '__main__':
main()
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('Ocean_Basemap'), 8)
plt.show()
if __name__ == '__main__':
main()
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('World_Terrain_Base'), 8)
plt.show()
if __name__ == '__main__':
main()
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('USA_Topo_Maps'), 8)
plt.show()
if __name__ == '__main__':
main()
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('NGS_Topo_US_2D'), 8)
plt.show()
if __name__ == '__main__':
main()
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('ESRI_Imagery_World_2D'), 8)
plt.show()
if __name__ == '__main__':
main()
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy_custom import ArcgisImage
def main():
fig = plt.figure(figsize=(18, 16))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
# Select California
ax.set_extent([-122, -115, 32, 37], crs=ccrs.PlateCarree())
# Choose high-resolution image from ArcGIS.
ax.add_image(ArcgisImage('ESRI_StreetMap_World_2D'), 8)
plt.show()
if __name__ == '__main__':
main()